Alvaro Mendizabal

About Alvaro Mendizabal

I’m a Machine Learning Engineer dedicated to delivering high-impact, end-to-end AI…

Experience

1. Machine Learning Engineer

   Voyatek

   Nov 2022 — Present · Los Angeles, CA, US

   End-to-End ML Development: Built and operated dozens of ML models, covering fraud detection, compliance optimization, revenue collection for a high-volume state tax platform. Employed PyTorch, TensorFlow, XG Boost, Scikit-learn to refine deep learning architectures for enhanced accuracy and scalability. Streamlined model pipelines, by integrating container-based deployments (Docker, AWS) and automating workflows (CI/CD), reducing overhead and time-to-market by 50%.• Advanced Feature Engineering and ML Optimization: Processed massive data sets (SQL, Spark, Hive) and engineered predictive features to capture critical payment and compliance signals. Explored deep neural networks and classification algorithms to address high-stakes tax scenarios. Optimized model performance through iterative experimentation, batch parallelization, and hyperparameter tuning, cutting prediction latency by 75% and improving reliability.• Cross-Functional Collaboration: Partnered with product managers, data scientists, and operations teams to propose and validate new ML-driven strategies. Maintained a strong focus on code readability, rigorous testing, and documentation, fostering a culture of quality and continuous learning.• Next-Generation AI Initiatives: Investigated GenAI/NLP approaches (transformers, large language models) to potentially automate case analyses and document reviews, significantly reducing human intervention for routine tasks.• Data Visualization and Storytelling: Built interactive dashboards (Tableau) and visualizations (Plotly) to communicate performance metrics and facilitate data-driven decisions for upper management and cross-departmental stakeholders.• Leadership and Mentorship: Mentored junior engineers and promoted a culture of agile experimentation, driving continuous improvement in model design and deployment strategies.

Education

• Los Angeles City College

  Political Science

• Flatiron School

  Data Science

• University of California, Santa Cruz

  Bachelor's degree